Overview

Dataset statistics

Number of variables5
Number of observations199
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.1 KiB
Average record size in memory41.7 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description부산광역시해운대구_다중이용시설실내공기질관리대상시설현황_20221101
Author부산광역시 해운대구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15092056

Alerts

연번 has unique valuesUnique
시설명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:29:18.620121
Analysis finished2023-12-10 16:29:19.294069
Duration0.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct199
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100
Minimum1
Maximum199
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-11T01:29:19.416413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.9
Q150.5
median100
Q3149.5
95-th percentile189.1
Maximum199
Range198
Interquartile range (IQR)99

Descriptive statistics

Standard deviation57.590508
Coefficient of variation (CV)0.57590508
Kurtosis-1.2
Mean100
Median Absolute Deviation (MAD)50
Skewness0
Sum19900
Variance3316.6667
MonotonicityStrictly increasing
2023-12-11T01:29:19.627398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
138 1
 
0.5%
128 1
 
0.5%
129 1
 
0.5%
130 1
 
0.5%
131 1
 
0.5%
132 1
 
0.5%
133 1
 
0.5%
134 1
 
0.5%
135 1
 
0.5%
Other values (189) 189
95.0%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
199 1
0.5%
198 1
0.5%
197 1
0.5%
196 1
0.5%
195 1
0.5%
194 1
0.5%
193 1
0.5%
192 1
0.5%
191 1
0.5%
190 1
0.5%

시설명
Text

UNIQUE 

Distinct199
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-11T01:29:19.926349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length26
Mean length9.4522613
Min length3

Characters and Unicode

Total characters1881
Distinct characters333
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique199 ?
Unique (%)100.0%

Sample

1st row이마트해운대점
2nd row홈플러스 센텀시티점
3rd row세이브존리베라
4th row㈜파라다이스호텔
5th row홈플러스 해운대점
ValueCountFrequency (%)
어린이집 12
 
4.1%
해운대 11
 
3.7%
의료법인 6
 
2.0%
부산 3
 
1.0%
홈플러스 3
 
1.0%
오피스텔 3
 
1.0%
센텀시티점 3
 
1.0%
반여점 2
 
0.7%
롯데시네마 2
 
0.7%
신세계백화점 2
 
0.7%
Other values (246) 249
84.1%
2023-12-11T01:29:20.408883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
97
 
5.2%
이 58
 
3.1%
대 52
 
2.8%
운 49
 
2.6%
해 46
 
2.4%
스 40
 
2.1%
센 36
 
1.9%
원 35
 
1.9%
린 34
 
1.8%
어 33
 
1.8%
Other values (323) 1401
74.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1591
84.6%
Space Separator 97
 
5.2%
Uppercase Letter 90
 
4.8%
Other Punctuation 24
 
1.3%
Lowercase Letter 22
 
1.2%
Close Punctuation 18
 
1.0%
Open Punctuation 18
 
1.0%
Decimal Number 11
 
0.6%
Other Symbol 8
 
0.4%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 58
 
3.6%
대 52
 
3.3%
운 49
 
3.1%
해 46
 
2.9%
스 40
 
2.5%
센 36
 
2.3%
원 35
 
2.2%
린 34
 
2.1%
어 33
 
2.1%
텀 32
 
2.0%
Other values (275) 1176
73.9%
Uppercase Letter
ValueCountFrequency (%)
C 20
22.2%
P 17
18.9%
N 7
 
7.8%
S 4
 
4.4%
K 4
 
4.4%
W 3
 
3.3%
O 3
 
3.3%
T 3
 
3.3%
G 3
 
3.3%
E 3
 
3.3%
Other values (12) 23
25.6%
Lowercase Letter
ValueCountFrequency (%)
e 5
22.7%
a 3
13.6%
o 3
13.6%
n 3
13.6%
t 2
 
9.1%
m 1
 
4.5%
i 1
 
4.5%
s 1
 
4.5%
y 1
 
4.5%
l 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
/ 19
79.2%
. 3
 
12.5%
& 1
 
4.2%
, 1
 
4.2%
Decimal Number
ValueCountFrequency (%)
2 7
63.6%
3 2
 
18.2%
1 1
 
9.1%
4 1
 
9.1%
Close Punctuation
ValueCountFrequency (%)
) 17
94.4%
] 1
 
5.6%
Open Punctuation
ValueCountFrequency (%)
( 17
94.4%
[ 1
 
5.6%
Space Separator
ValueCountFrequency (%)
97
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1599
85.0%
Common 170
 
9.0%
Latin 112
 
6.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 58
 
3.6%
대 52
 
3.3%
운 49
 
3.1%
해 46
 
2.9%
스 40
 
2.5%
센 36
 
2.3%
원 35
 
2.2%
린 34
 
2.1%
어 33
 
2.1%
텀 32
 
2.0%
Other values (276) 1184
74.0%
Latin
ValueCountFrequency (%)
C 20
17.9%
P 17
 
15.2%
N 7
 
6.2%
e 5
 
4.5%
S 4
 
3.6%
K 4
 
3.6%
W 3
 
2.7%
O 3
 
2.7%
T 3
 
2.7%
G 3
 
2.7%
Other values (23) 43
38.4%
Common
ValueCountFrequency (%)
97
57.1%
/ 19
 
11.2%
) 17
 
10.0%
( 17
 
10.0%
2 7
 
4.1%
. 3
 
1.8%
- 2
 
1.2%
3 2
 
1.2%
& 1
 
0.6%
, 1
 
0.6%
Other values (4) 4
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1591
84.6%
ASCII 282
 
15.0%
None 8
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
97
34.4%
C 20
 
7.1%
/ 19
 
6.7%
P 17
 
6.0%
) 17
 
6.0%
( 17
 
6.0%
2 7
 
2.5%
N 7
 
2.5%
e 5
 
1.8%
S 4
 
1.4%
Other values (37) 72
25.5%
Hangul
ValueCountFrequency (%)
이 58
 
3.6%
대 52
 
3.3%
운 49
 
3.1%
해 46
 
2.9%
스 40
 
2.5%
센 36
 
2.3%
원 35
 
2.2%
린 34
 
2.1%
어 33
 
2.1%
텀 32
 
2.0%
Other values (275) 1176
73.9%
None
ValueCountFrequency (%)
㈜ 8
100.0%

소재지
Text

Distinct195
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-11T01:29:20.781752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length42
Mean length27.236181
Min length18

Characters and Unicode

Total characters5420
Distinct characters164
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique191 ?
Unique (%)96.0%

Sample

1st row부산광역시 해운대구 좌동순환로 511 (중동)
2nd row부산광역시 해운대구 센텀동로 6 (우동)
3rd row부산광역시 해운대구 구남로29번길 21 (중동)
4th row부산광역시 해운대구 해운대해변로 296 (중동)
5th row부산광역시 해운대구 해운대해변로 140 (우동)
ValueCountFrequency (%)
부산광역시 199
19.7%
해운대구 199
19.7%
우동 59
 
5.8%
해운대로 38
 
3.8%
좌동 27
 
2.7%
중동 25
 
2.5%
해운대해변로 15
 
1.5%
재송동 12
 
1.2%
반여동 8
 
0.8%
반송동 8
 
0.8%
Other values (302) 422
41.7%
2023-12-11T01:29:21.362499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
815
 
15.0%
해 288
 
5.3%
대 283
 
5.2%
운 273
 
5.0%
동 234
 
4.3%
시 210
 
3.9%
구 204
 
3.8%
부 203
 
3.7%
산 201
 
3.7%
광 199
 
3.7%
Other values (154) 2510
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3422
63.1%
Space Separator 815
 
15.0%
Decimal Number 693
 
12.8%
Open Punctuation 191
 
3.5%
Close Punctuation 191
 
3.5%
Other Punctuation 66
 
1.2%
Uppercase Letter 23
 
0.4%
Dash Punctuation 15
 
0.3%
Math Symbol 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
해 288
 
8.4%
대 283
 
8.3%
운 273
 
8.0%
동 234
 
6.8%
시 210
 
6.1%
구 204
 
6.0%
부 203
 
5.9%
산 201
 
5.9%
광 199
 
5.8%
역 199
 
5.8%
Other values (130) 1128
33.0%
Decimal Number
ValueCountFrequency (%)
1 111
16.0%
2 106
15.3%
3 77
11.1%
7 66
9.5%
5 63
9.1%
6 59
8.5%
4 58
8.4%
8 54
7.8%
9 50
7.2%
0 49
7.1%
Uppercase Letter
ValueCountFrequency (%)
C 5
21.7%
P 4
17.4%
A 4
17.4%
E 4
17.4%
N 3
13.0%
J 1
 
4.3%
K 1
 
4.3%
B 1
 
4.3%
Space Separator
ValueCountFrequency (%)
815
100.0%
Open Punctuation
ValueCountFrequency (%)
( 191
100.0%
Close Punctuation
ValueCountFrequency (%)
) 191
100.0%
Other Punctuation
ValueCountFrequency (%)
, 66
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3422
63.1%
Common 1975
36.4%
Latin 23
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
해 288
 
8.4%
대 283
 
8.3%
운 273
 
8.0%
동 234
 
6.8%
시 210
 
6.1%
구 204
 
6.0%
부 203
 
5.9%
산 201
 
5.9%
광 199
 
5.8%
역 199
 
5.8%
Other values (130) 1128
33.0%
Common
ValueCountFrequency (%)
815
41.3%
( 191
 
9.7%
) 191
 
9.7%
1 111
 
5.6%
2 106
 
5.4%
3 77
 
3.9%
7 66
 
3.3%
, 66
 
3.3%
5 63
 
3.2%
6 59
 
3.0%
Other values (6) 230
 
11.6%
Latin
ValueCountFrequency (%)
C 5
21.7%
P 4
17.4%
A 4
17.4%
E 4
17.4%
N 3
13.0%
J 1
 
4.3%
K 1
 
4.3%
B 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3422
63.1%
ASCII 1998
36.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
815
40.8%
( 191
 
9.6%
) 191
 
9.6%
1 111
 
5.6%
2 106
 
5.3%
3 77
 
3.9%
7 66
 
3.3%
, 66
 
3.3%
5 63
 
3.2%
6 59
 
3.0%
Other values (14) 253
 
12.7%
Hangul
ValueCountFrequency (%)
해 288
 
8.4%
대 283
 
8.3%
운 273
 
8.0%
동 234
 
6.8%
시 210
 
6.1%
구 204
 
6.0%
부 203
 
5.9%
산 201
 
5.9%
광 199
 
5.8%
역 199
 
5.8%
Other values (130) 1128
33.0%

주용도
Categorical

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
실내주차장
79 
보육시설
28 
의료기관
25 
PC방
16 
대규모점포/실내주차장
 
7
Other values (19)
44 

Length

Max length57
Median length34
Mean length5.3015075
Min length2

Unique

Unique11 ?
Unique (%)5.5%

Sample

1st row대규모점포/실내주차장
2nd row대규모점포/실내주차장
3rd row대규모점포
4th row실내주차장/(신관)/실내주차장/(본관)
5th row대규모점포

Common Values

ValueCountFrequency (%)
실내주차장 79
39.7%
보육시설 28
 
14.1%
의료기관 25
 
12.6%
PC방 16
 
8.0%
대규모점포/실내주차장 7
 
3.5%
지하역사 7
 
3.5%
실내어린이 놀이시설 5
 
2.5%
대규모점포 5
 
2.5%
영화관 5
 
2.5%
목욕장 3
 
1.5%
Other values (14) 19
 
9.5%

Length

2023-12-11T01:29:21.587511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
실내주차장 79
38.7%
보육시설 28
 
13.7%
의료기관 25
 
12.3%
pc방 16
 
7.8%
대규모점포/실내주차장 7
 
3.4%
지하역사 7
 
3.4%
실내어린이 5
 
2.5%
놀이시설 5
 
2.5%
대규모점포 5
 
2.5%
영화관 5
 
2.5%
Other values (15) 22
 
10.8%

연면적(미터제곱)
Text

Distinct196
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-11T01:29:21.915616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length5
Mean length5.678392
Min length4

Characters and Unicode

Total characters1130
Distinct characters14
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique193 ?
Unique (%)97.0%

Sample

1st row18304 / 19813
2nd row31834.17 / 23500
3rd row16491
4th row13025.14 / 5506.99
5th row26753
ValueCountFrequency (%)
13
 
5.8%
494 2
 
0.9%
307 2
 
0.9%
525 2
 
0.9%
6525 1
 
0.4%
40800 1
 
0.4%
1990 1
 
0.4%
1080 1
 
0.4%
344 1
 
0.4%
29075 1
 
0.4%
Other values (200) 200
88.9%
2023-12-11T01:29:22.476409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
211
18.7%
1 128
11.3%
4 104
9.2%
3 93
8.2%
5 93
8.2%
2 92
8.1%
9 85
7.5%
7 82
 
7.3%
6 78
 
6.9%
0 71
 
6.3%
Other values (4) 93
8.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 892
78.9%
Space Separator 211
 
18.7%
Other Punctuation 27
 
2.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 128
14.3%
4 104
11.7%
3 93
10.4%
5 93
10.4%
2 92
10.3%
9 85
9.5%
7 82
9.2%
6 78
8.7%
0 71
8.0%
8 66
7.4%
Other Punctuation
ValueCountFrequency (%)
/ 17
63.0%
. 9
33.3%
, 1
 
3.7%
Space Separator
ValueCountFrequency (%)
211
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1130
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
211
18.7%
1 128
11.3%
4 104
9.2%
3 93
8.2%
5 93
8.2%
2 92
8.1%
9 85
7.5%
7 82
 
7.3%
6 78
 
6.9%
0 71
 
6.3%
Other values (4) 93
8.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1130
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
211
18.7%
1 128
11.3%
4 104
9.2%
3 93
8.2%
5 93
8.2%
2 92
8.1%
9 85
7.5%
7 82
 
7.3%
6 78
 
6.9%
0 71
 
6.3%
Other values (4) 93
8.2%

Interactions

2023-12-11T01:29:18.958594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:29:22.608073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번주용도
연번1.0000.627
주용도0.6271.000
2023-12-11T01:29:22.708695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번주용도
연번1.0000.269
주용도0.2691.000

Missing values

2023-12-11T01:29:19.101585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:29:19.238732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

연번시설명소재지주용도연면적(미터제곱)
01이마트해운대점부산광역시 해운대구 좌동순환로 511 (중동)대규모점포/실내주차장18304 / 19813
12홈플러스 센텀시티점부산광역시 해운대구 센텀동로 6 (우동)대규모점포/실내주차장31834.17 / 23500
23세이브존리베라부산광역시 해운대구 구남로29번길 21 (중동)대규모점포16491
34㈜파라다이스호텔부산광역시 해운대구 해운대해변로 296 (중동)실내주차장/(신관)/실내주차장/(본관)13025.14 / 5506.99
45홈플러스 해운대점부산광역시 해운대구 해운대해변로 140 (우동)대규모점포26753
56화목데파트 상가부산광역시 해운대구 세실로 64 (좌동, 화목데파트)대규모점포/실내주차장4159 / 9695
67해운대 비치 로데오아울렛 2차/(해운대 상설할인타운)부산광역시 해운대구 좌동순환로 473 (중동)대규모점포17114
78부산시립미술관부산광역시 해운대구 APEC로 58 (우동)미술관/실내주차장17608.7 / 3817
89부산유스호스텔아르피나부산광역시 해운대구 해운대해변로 35 (우동)실내주차장5993
910세종월드프라자부산광역시 해운대구 해운대로 814 (좌동)실내주차장10257
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189190㈜호텔롯데 시그니엘 부산부산광역시 해운대구 달맞이길 30(중동,시그니엘 부산 지하2층 영업지원팀)실내주차장14556
190191엘시티더레지던스부산광역시 해운대구 달맞이길 30(중동, 랜드마크타워동 레지던스 방제실)실내주차장44486
191192대한예수교장로회오산교회부산광역시 해운대구 좌동순환로412번길 8실내주차장2968
192193대한예수교장로회수영로교회부산광역시 해운대구 해운대해변로 43실내주차장11237
193194대한예수교장로회수영로교회/교육관부산광역시 해운대구 해운대해변로 47실내주차장6616
194195퀸즈파크여성병원부산광역시 해운대구 해운대로 794, 10층, 11층 (좌동)의료기관2549
195196엘시티 더몰부산광역시 해운대구 달맞이길 30(중동, 엘시티 포디움동)대규모점포28555
196197아세안문화박물관부산광역시 해운대구 좌동로 162(좌동)박물관6525
197198영화진흥위원회부산광역시 해운대구 수영강변대로 130 (우동)실내주차장2579
198199해운대 오션프라임부산광역시 해운대구 해운대해변로 353 (중동)실내주차장3581